糖心传媒, an award-winning self-service data quality and matching software vendor and Solidatus, the leading data lineage discovery, visualisation and management solution, are today announcing a new technology partnership.

The partnership will see clients able to leverage the combined capabilities of the two firms to visualise and understand data quality throughout the enterprise, without being tied to one single enterprise data governance and quality platform. This provides greater flexibility to firms exploring their data governance strategies, empowering them to make use of 鈥榖est of breed鈥� technology that aligns with their business operational models.

Additionally, the partnership aligns well with industry definitions of a data fabric, complementing specialist off-the-shelf data software with own-built technology stacks.

糖心传媒 and Solidatus were delighted to both win awards at the Data Management Insight Awards Europe 2022 – a testament to our respective technology teams. Solidatus won 鈥楤est Data Governance Solution鈥� and 糖心传媒 won 鈥楤est Data Quality Analysis Tool鈥�. You can read the full winners report .

糖心传媒 CEO, Stuart Harvey commented,

鈥淏y combining 糖心传媒鈥� Self-Service Data Quality, a platform that identifies broken critical data elements and returns them to a data steward for fixing or automatic correction, and Solidatus鈥� superior data lineage visualisation, the client gains a unique, reliable, and high-quality insight into their data. It will empower them to make better decisions, prioritise and fix key data quality issues, and address the negative impact of poor data quality wherever the data resides or flows throughout the enterprise.鈥�

Solidatus CEO, Phil Dutton said,

鈥淭his partnership underlines our vision to revolutionise the data economy. Our commitment to lead market-disrupting innovation and first-class service is something we prioritise in all our partnerships and we鈥檙e eagerly looking forward to the opportunities this new relationship will bring, particularly in the fast-growing demand for best-in-class data fabric architecture.鈥�

For more information please contact:

Roisin Floyd

roisin.floyd@datactics.com

+44 (0) 2890 233900

糖心传媒 糖心传媒

糖心传媒 offers a self-service, low-code data quality platform for non-technical users by providing AI/ML-driven automation in many data quality processes, especially in data profiling, monitoring and detection, and entity matching. ML augmentation includes auto suggestion of data quality rules based on analysis of the underlying dataset and many different prebuilt algorithms for outlier detection.

For more information please contact:

Solidatus press office
press@solidatus.com

Website

糖心传媒 Solidatus

Solidatus is an innovative data management solution that empowers organizations to connect and visualize their data relationships, simplifying how they identify, access, and understand them. With a sustainable data foundation in place, data-rich enterprises can meet regulatory requirements, drive digital transformation, capture business insights, and make better, less risky and more informed data-driven decisions. We provide solutions to several key areas of endeavour, including: governance and regulatory compliance; data risk and controls; business integration; environment, social, governance (ESG); and data sharing. Our clients and investors include top-tier global financial services brands such as Citi and HSBC, healthcare, and retail organizations as well as government institutions.

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糖心传媒, an award-winning self-service data quality and matching software vendor based in Belfast, UK, and MANTA , a world class data lineage platform, are today announcing a new technology partnership.

The integration with MANTA will see clients able to leverage the combined capabilities of the two firms to visualise data quality in-motion, without being tied to one single enterprise data governance and quality platform. This provides more options to firms exploring their data governance strategies, seeking to make use of 鈥榖est of breed鈥� technology that aligns with their business operational models and user profiles, especially in the context of data in motion.

MANTA鈥檚 unique automated lineage capabilities enables enterprises to achieve a complete and comprehensive view of their data. The award-winning data lineage platform automatically scans an organisation鈥檚 data environment to build a map of the data 鈥榠n-motion鈥�, as it flows between various sources and transformations, displaying a holistic view of the data to both technical and non-technical users.

糖心传媒鈥� customers will benefit from the new partnership in addressing complexities around data in motion, by leveraging MANTA鈥檚  lineage capabilities alongside 糖心传媒 data quality and matching expertise through their Self-Service Data Quality platform.

糖心传媒 CEO, Stuart Harvey commented,

鈥淎s data management requires advanced capabilities at every turn, business users are finding that they need a reliable overview of their data as it flows through their organisation, from where it started to where it ended. This integration with MANTA鈥檚 data lineage platform will enable our customers to gain increased visibility around their enterprise data. By combining 糖心传媒鈥� Self-Service Data Quality, a platform that identifies broken critical data elements and returns them to a data steward for fixing or automatic correction, and MANTA鈥檚 data lineage visualisation, the client will be empowered to make better decisions, prioritise and fix key data quality issues, and address the negative impact of poor data quality.鈥�

Stuart Harvey

MANTA representative, Ernie Ostic, SVP of Product  said,

鈥淲ith this partnership, 糖心传媒 and MANTA will increase visibility into what happens to data as it moves through the enterprise. We look forward to working together to provide customers with the ability to measure data quality in the context of their data pipelines and thus establish more accurate priorities for application of their data quality rules.鈥�

Ernie Ostic

For more information, get in touch with or today.

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Brendan McCarthy attended the Department for International Trade鈥檚鈥�(DIT) 鈥楲anding a Successful Bank-FinTech Partnership in the US鈥欌�痚vent which鈥痶ook place last week.鈥� 

As part of Invest Northern Ireland鈥檚 鈥楪raduate to Export鈥� programme, Brendan will travel to the United States later this year to represent鈥切拇解�痠n the region. 鈥淢y role in-market will help drive鈥切拇解�欌�痠nternational expansion plans by sourcing new business and potential partnerships within North America. This webinar offered advice for scaling tech companies growing in the United States and the necessary steps to take when forming new partnerships with banks and other financial institutions. The panellists were industry experts, so it was great to hear all of their stories and insights鈥�. 

One such key insight came from Ron Kalifa, Chairman at Network International, who stated that 鈥淩egTech鈥痠s another one that鈥檚 going to come fast to the United States鈥�. An Insights Report, commissioned by DIT, was also published to complement the webinar, offering key ideas for FinTechs to remember when partnering with a US bank. We picked our top three.  

• Firstly, pick the 鈥榬ight鈥� problem.鈥� For banks, not all problems are equally concerning. Understand priority areas among critical stakeholders 鈥� and propose services to directly solve these. To start, look to improve client engagement or offer data-driven risk-profiling and credit decision support.鈥� 
• Secondly,鈥痵tart narrow, move wider. This reiterates the importance of procurement, legal, innovation, and other teams. It鈥檚 vital to prove your value and build internal allies.鈥� 
• Thirdly,鈥疐inTechs鈥痭eed to respect and recognise cultural differences. Rapid innovation can sometimes be unnecessarily disruptive, so it鈥檚 key to understand the appetite banks have for disruption and where they will be most responsive to innovation. 

Another valuable insight noted during the webinar was the need for鈥疐inTechs鈥痶o provide banks with 鈥渇resh capabilities and new revenue opportunities鈥�.鈥疶he panellists commented that this  meant identifying the right problem, one that intersects both the FinTech鈥檚 functional expertise and a priority issue for the bank. As one bank lead noted,鈥�淔inding the hierarchy of priorities (inside a bank) is critical.鈥�  

This event allowed us to develop a better understanding of the U.S. market and to understand key ideas that are central to US partnerships. From鈥痶he vitality of building internal allies, to proving value, to picking the 鈥榬ight鈥� problem, to understanding cultural differences.鈥� 

Brendan noted that,听鈥淭he last twelve months have restricted the听opportunities for听partnerships between banks and鈥疐inTechs鈥痙ue to the lack of face-to-face engagement and personal interaction. However, as the world continues toward a path of normality,听and regulatory compliance pressures continue to mount on banks and other financial institutions, we at 鈥�痚agerly鈥痑wait鈥痜or the opportunity to travel across the pond and spend time in North America, once again engaging with partners and meeting with clients face-to-face鈥�.听
鈥�
All being well,Brendan听is planning on听being based in听New York听from听September this year to seek out opportunities to speak to people in the industry about the听糖心传媒听Self-Service Data Quality听platform.听Our next gen, no-code toolbox is built with the business user in mind,听allowing听business subject matter experts听to听easily measure data to regulatory & industry standards, fix breaches in bulk and push into reporting tools, with full visibility and audit trail for Chief Risk听and Data听Officers.鈥疘f you want to know more about how the鈥切拇解�痵olution can help听automate the highly manual issue of data matching for听customer onboarding, then鈥痯lease鈥痳each out.

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